Amortized Analysis — Aggregate, Accounting, and Potential Methods Explained | Chapter 16 of Intro to Algorithms
Amortized Analysis — Aggregate, Accounting, and Potential Methods Explained | Chapter 16 of Intro to Algorithms Amortized analysis provides a rigorous way to analyze the average performance of data structure operations over time—even when some individual operations are costly. Chapter 16 of introduction to algorithms introduces the three main techniques of amortized analysis: aggregate analysis, the accounting method, and the potential method. With clear stack and binary counter examples, plus practical guidance on dynamic table resizing, this chapter equips you with the tools to guarantee efficient performance in real-world algorithms. For a full walkthrough of amortized analysis techniques, watch the chapter summary video below. Be sure to subscribe to Last Minute Lecture for more algorithm tutorials. Aggregate Analysis Aggregate analysis determines the total cost T(n) for n operations, then divides by n to find the amortized cost per operation. For example, a sta...